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The rich set of sensors in smartphones and wearable devices provides thepossibility to passively collect streams of data in the wild. The raw datastreams, however, can rarely be directly used in the modeling pipeline. Weprovide a generic framework that can process raw data streams and extractuseful features related to non-verbal human behavior. This framework can beused by researchers in the field who are interested in processing data fromsmartphones and Wearable devices.

Extraction of Behavioral Features from Smartphone and Wearable Data